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| import gradio as gr | |
| from description import * | |
| from reference_string_parsing import * | |
| from summarization import * | |
| from controlled_summarization import * | |
| with gr.Blocks(css="#htext span {white-space: pre-line}") as demo: | |
| gr.Markdown("# SciAssist: Scientists' Assistant toolkit") | |
| gr.Markdown("SciAssist currently supports Reference String Parsing, uncontrolled Summarization and Controlled Summarization. Github repo: https://github.com/WING-NUS/SciAssist") | |
| with gr.Tabs(): | |
| # Reference String Parsing | |
| with gr.TabItem("Reference String Parsing"): | |
| with gr.Box(): | |
| gr.Markdown(rsp_str_md) | |
| with gr.Row(): | |
| with gr.Column(): | |
| rsp_str = gr.Textbox(label="Input String") | |
| with gr.Column(): | |
| rsp_str_dehyphen = gr.Checkbox(label="dehyphen") | |
| with gr.Row(): | |
| rsp_str_btn = gr.Button("Parse") | |
| rsp_str_output = gr.HighlightedText( | |
| elem_id="htext", | |
| label="The Result of Parsing", | |
| combine_adjacent=True, | |
| adjacent_separator=" ", | |
| ) | |
| rsp_str_examples = gr.Examples(examples=[[ | |
| "Waleed Ammar, Matthew E. Peters, Chandra Bhagavat- ula, and Russell Power. 2017. The ai2 system at semeval-2017 task 10 (scienceie): semi-supervised end-to-end entity and relation extraction. In ACL workshop (SemEval).", | |
| True], | |
| [ | |
| "Isabelle Augenstein, Mrinal Das, Sebastian Riedel, Lakshmi Vikraman, and Andrew D. McCallum. 2017. Semeval-2017 task 10 (scienceie): Extracting keyphrases and relations from scientific publications. In ACL workshop (SemEval).", | |
| False]], inputs=[rsp_str, rsp_str_dehyphen]) | |
| with gr.Box(): | |
| gr.Markdown(rsp_file_md) | |
| with gr.Row(): | |
| with gr.Column(): | |
| rsp_file = gr.File(label="Input File") | |
| rsp_file_dehyphen = gr.Checkbox(label="dehyphen") | |
| with gr.Row(): | |
| rsp_file_btn = gr.Button("Parse") | |
| rsp_file_output = gr.HighlightedText( | |
| elem_id="htext", | |
| label="The Result of Parsing", | |
| combine_adjacent=True, | |
| adjacent_separator=" ", | |
| ) | |
| rsp_file_examples = gr.Examples(examples=[["examples/N18-3011_ref.txt", False],["examples/BERT_paper.pdf", True]], inputs=[rsp_file, rsp_file_dehyphen]) | |
| rsp_file_btn.click( | |
| fn=rsp_for_file, | |
| inputs=[rsp_file, rsp_file_dehyphen], | |
| outputs=rsp_file_output | |
| ) | |
| rsp_str_btn.click( | |
| fn=rsp_for_str, | |
| inputs=[rsp_str, rsp_str_dehyphen], | |
| outputs=rsp_str_output | |
| ) | |
| # Single Document Summarization | |
| with gr.TabItem("General Summarization"): | |
| with gr.Box(): | |
| gr.Markdown(ssum_str_md) | |
| with gr.Row(): | |
| with gr.Column(): | |
| ssum_str = gr.Textbox(label="Input String") | |
| # with gr.Column(): | |
| # ssum_str_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0) | |
| # ssum_str_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0) | |
| with gr.Row(): | |
| ssum_str_btn = gr.Button("Generate") | |
| ssum_str_output = gr.Textbox( | |
| elem_id="htext", | |
| label="Summary", | |
| ) | |
| ssum_str_examples = gr.Examples(examples=[[ssum_str_example], ], | |
| inputs=[ssum_str]) | |
| with gr.Box(): | |
| gr.Markdown(ssum_file_md) | |
| with gr.Row(): | |
| with gr.Column(): | |
| ssum_file = gr.File(label="Input File") | |
| # with gr.Column(): | |
| # ssum_file_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0) | |
| # ssum_file_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0) | |
| with gr.Row(): | |
| ssum_file_btn = gr.Button("Generate") | |
| ssum_file_output = gr.Textbox( | |
| elem_id="htext", | |
| label="Summary", | |
| ) | |
| ssum_file_examples = gr.Examples(examples=[["examples/BERT_body.txt"],["examples/BERT_paper.pdf"]], | |
| inputs=[ssum_file]) | |
| ssum_file_btn.click( | |
| fn=ssum_for_file, | |
| inputs=[ssum_file], | |
| outputs=ssum_file_output | |
| ) | |
| ssum_str_btn.click( | |
| fn=ssum_for_str, | |
| inputs=[ssum_str], | |
| outputs=ssum_str_output | |
| ) | |
| # Controlled Summarization | |
| with gr.TabItem("Controlled Summarization"): | |
| with gr.Box(): | |
| gr.Markdown(ctrlsum_str_md) | |
| with gr.Row(): | |
| with gr.Column(): | |
| ctrlsum_str = gr.Textbox(label="Input String") | |
| with gr.Column(): | |
| # ctrlsum_str_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0) | |
| # ctrlsum_str_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0) | |
| ctrlsum_str_length = gr.Slider(0, 300, step=50, label="Length") | |
| ctrlsum_str_keywords = gr.Textbox(label="Keywords") | |
| with gr.Row(): | |
| ctrlsum_str_btn = gr.Button("Generate") | |
| ctrlsum_str_output = gr.Textbox( | |
| elem_id="htext", | |
| label="Summary", | |
| ) | |
| ctrlsum_str_examples = gr.Examples(examples=[[ssum_str_example, 50, "BERT" ], ], | |
| inputs=[ctrlsum_str, ctrlsum_str_length, ctrlsum_str_keywords]) | |
| with gr.Box(): | |
| gr.Markdown(ctrlsum_file_md) | |
| with gr.Row(): | |
| with gr.Column(): | |
| ctrlsum_file = gr.File(label="Input File") | |
| with gr.Column(): | |
| # ctrlsum_file_beams = gr.Number(label="Number of beams for beam search", value=1, precision=0) | |
| # ctrlsum_file_sequences = gr.Number(label="Number of generated summaries", value=1, precision=0) | |
| ctrlsum_file_length = gr.Slider(0,300,step=50, label="Length") | |
| ctrlsum_file_keywords = gr.Textbox(label="Keywords") | |
| with gr.Row(): | |
| ctrlsum_file_btn = gr.Button("Generate") | |
| ctrlsum_file_output = gr.Textbox( | |
| elem_id="htext", | |
| label="Summary", | |
| ) | |
| ctrlsum_file_examples = gr.Examples(examples=[["examples/BERT_body.txt", 100, ""],["examples/BERT_paper.pdf", 0, "BERT"]], | |
| inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords]) | |
| ctrlsum_file_btn.click( | |
| fn=ctrlsum_for_file, | |
| inputs=[ctrlsum_file, ctrlsum_file_length, ctrlsum_file_keywords], | |
| outputs=ctrlsum_file_output | |
| ) | |
| ctrlsum_str_btn.click( | |
| fn=ctrlsum_for_str, | |
| inputs=[ctrlsum_str, ctrlsum_str_length, ctrlsum_str_keywords], | |
| outputs=ctrlsum_str_output | |
| ) | |
| demo.launch(share=False) |